PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-09-06 10:23:51.161545+00:00 (UTC)
In US/Central Time, this is 2024-09-06 05:23:51.161545-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/76573d016f9ce3d6c6a584075916e69764e3619cb96fc29cd1c284e531bd7cbc.png
We are just generating a random time serie here.
../../_images/68e873359005f454533eff2ddfeb217e4308aec7f086573f7421e0ffa434c531.png
../../_images/e904d7041e74e3865d4cddae204511819c6c29e84e310b85f952fe9de75a4fa4.png